Underlying sources of cognitive-anatomical variation in multi-modal neuroimaging and cognitive testing.

ABSTRACT: Healthy adults have robust individual differences in neuroanatomy and cognitive ability not captured by demographics or gross morphology (Luders, Narr, Thompson, & Toga, 2009). We used a hierarchical independent component analysis (hICA) to create novel characterizations of individual differences in our participants (N=190). These components fused data across multiple cognitive tests and neuroanatomical variables. The first level contained four independent, underlying sources of phenotypic variance that predominately modeled broad relationships within types of data (e.g., "white matter," or "subcortical gray matter"), but were not reflective of traditional individual difference measures such as sex, age, or intracranial volume. After accounting for the novel individual difference measures,

SUBMITTER: Watson PD 

PROVIDER: S-EPMC4841452 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature